Mac mini (2024)
Geekbench AI Score
7975
Single Precision Score
10085
Half Precision Score
9097
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | WilliamLu |
| Upload Date | March 08 2025 09:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4711
876.1 IPS |
|
|
Image Classification (HP)
|
100% |
5021
933.8 IPS |
|
|
Image Classification (Q)
|
97% |
4335
809.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4834
78.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6936
112.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7552
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29773
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32005
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
30510
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
2778
220.3 IPS |
|
|
Object Detection (HP)
|
100% |
5449
432.2 IPS |
|
|
Object Detection (Q)
|
91% |
4655
372.0 IPS |
|
|
Face Detection (SP)
|
100% |
12849
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
16230
192.8 IPS |
|
|
Face Detection (Q)
|
100% |
12324
146.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21383
164.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23506
181.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20098
157.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58419
75.1 IPS |
|
|
Style Transfer (HP)
|
100% |
71764
92.3 IPS |
|
|
Style Transfer (Q)
|
96% |
67941
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12404
458.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13530
499.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10893
402.2 IPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5457
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5203
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
876
15.1 IPS |
